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Cited by in F6Publishing
For: Chong HH, Yang L, Sheng RF, Yu YL, Wu DJ, Rao SX, Yang C, Zeng MS. Multi-scale and multi-parametric radiomics of gadoxetate disodium-enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma ≤ 5 cm. Eur Radiol 2021;31:4824-38. [PMID: 33447861 DOI: 10.1007/s00330-020-07601-2] [Cited by in Crossref: 4] [Cited by in F6Publishing: 7] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Zhou H, Sun J, Jiang T, Wu J, Li Q, Zhang C, Zhang Y, Cao J, Sun Y, Jiang Y, Liu Y, Zhou X, Huang P. A Nomogram Based on Combining Clinical Features and Contrast Enhanced Ultrasound LI-RADS Improves Prediction of Microvascular Invasion in Hepatocellular Carcinoma. Front Oncol 2021;11:699290. [PMID: 34307168 DOI: 10.3389/fonc.2021.699290] [Reference Citation Analysis]
2 Yao S, Ye Z, Wei Y, Jiang HY, Song B. Radiomics in hepatocellular carcinoma: A state-of-the-art review. World J Gastrointest Oncol 2021; 13(11): 1599-1615 [PMID: 34853638 DOI: 10.4251/wjgo.v13.i11.1599] [Reference Citation Analysis]
3 Wang Q, Li C, Zhang J, Hu X, Fan Y, Ma K, Sparrelid E, Brismar TB. Radiomics Models for Predicting Microvascular Invasion in Hepatocellular Carcinoma: A Systematic Review and Radiomics Quality Score Assessment. Cancers (Basel) 2021;13:5864. [PMID: 34831018 DOI: 10.3390/cancers13225864] [Reference Citation Analysis]
4 Ling Q. Commentary: A preoperative model for predicting microvascular invasion and assisting in prognostic stratification in liver transplantation for HCC regarding empirical criteria. Transl Oncol 2021;14:101234. [PMID: 34626954 DOI: 10.1016/j.tranon.2021.101234] [Reference Citation Analysis]
5 Gong XQ, Tao YY, Wu YK, Liu N, Yu X, Wang R, Zheng J, Liu N, Huang XH, Li JD, Yang G, Wei XQ, Yang L, Zhang XM. Progress of MRI Radiomics in Hepatocellular Carcinoma. Front Oncol 2021;11:698373. [PMID: 34616673 DOI: 10.3389/fonc.2021.698373] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
6 Sheng R, Huang X, Jin K, Gao S, Zeng M, Wu D, Shi G. Contrast-enhanced MRI could predict response of systemic therapy in advanced intrahepatic cholangiocarcinoma. Eur Radiol 2022. [PMID: 35298678 DOI: 10.1007/s00330-022-08679-6] [Reference Citation Analysis]
7 Renzulli M, Mottola M, Coppola F, Cocozza MA, Malavasi S, Cattabriga A, Vara G, Ravaioli M, Cescon M, Vasuri F, Golfieri R, Bevilacqua A. Automatically Extracted Machine Learning Features from Preoperative CT to Early Predict Microvascular Invasion in HCC: The Role of the Zone of Transition (ZOT). Cancers 2022;14:1816. [DOI: 10.3390/cancers14071816] [Reference Citation Analysis]
8 Chong H, Gong Y, Zhang Y, Dai Y, Sheng R, Zeng M. Radiomics on Gadoxetate Disodium-enhanced MRI: Non-invasively Identifying Glypican 3-Positive Hepatocellular Carcinoma and Postoperative Recurrence. Acad Radiol 2022:S1076-6332(22)00254-9. [PMID: 35562264 DOI: 10.1016/j.acra.2022.04.006] [Reference Citation Analysis]
9 Dong S, Wang W, Chen X, Yang Y, Zhu S, Zeng M, Rao S. Microvascular invasion of small hepatocellular carcinoma can be preoperatively predicted by the 3D quantification of MRI. Eur Radiol. [DOI: 10.1007/s00330-021-08495-4] [Reference Citation Analysis]
10 Yang Y, Fan W, Gu T, Yu L, Chen H, Lv Y, Liu H, Wang G, Zhang D. Radiomic Features of Multi-ROI and Multi-Phase MRI for the Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma. Front Oncol 2021;11:756216. [PMID: 34692547 DOI: 10.3389/fonc.2021.756216] [Reference Citation Analysis]
11 Sheng R, Sun W, Huang X, Jin K, Gao S, Zeng M, Wu D, Shi G. Apparent Diffusion Coefficient MRI Shows Association With Early Progression of Unresectable Intrahepatic Cholangiocarcinoma With Combined Targeted-Immunotherapy. J Magn Reson Imaging 2022. [PMID: 35488518 DOI: 10.1002/jmri.28214] [Reference Citation Analysis]
12 Deng Y, Yang D, Xu H, Ren A, Yang Z. Diagnostic performance of imaging features in the HBP of gadoxetate disodium-enhanced MRI for microvascular invasion in hepatocellular carcinoma: a meta-analysis. Acta Radiol 2021;:2841851211038806. [PMID: 34459669 DOI: 10.1177/02841851211038806] [Reference Citation Analysis]
13 Sun Z, Li Z, Shi XL, He XW, Chen J, Song JH. Anatomic versus non-anatomic resection of hepatocellular carcinoma with microvascular invasion: A systematic review and meta-analysis. Asian J Surg 2021;44:1143-50. [PMID: 33766529 DOI: 10.1016/j.asjsur.2021.02.023] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Chong H, Gong Y, Pan X, Liu A, Chen L, Yang C, Zeng M. Peritumoral Dilation Radiomics of Gadoxetate Disodium-Enhanced MRI Excellently Predicts Early Recurrence of Hepatocellular Carcinoma without Macrovascular Invasion After Hepatectomy. J Hepatocell Carcinoma 2021;8:545-63. [PMID: 34136422 DOI: 10.2147/JHC.S309570] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
15 Chong H, Zhou P, Yang C, Zeng M. An excellent nomogram predicts microvascular invasion that cannot independently stratify outcomes of small hepatocellular carcinoma. Ann Transl Med 2021;9:757. [PMID: 34268370 DOI: 10.21037/atm-20-7952] [Reference Citation Analysis]
16 Tian Y, Hua H, Peng Q, Zhang Z, Wang X, Han J, Ma W, Chen J. Preoperative Evaluation of Gd-EOB-DTPA-Enhanced MRI Radiomics-Based Nomogram in Small Solitary Hepatocellular Carcinoma (≤3 cm) With Microvascular Invasion: A Two-Center Study. J Magn Reson Imaging 2022. [PMID: 35298849 DOI: 10.1002/jmri.28157] [Reference Citation Analysis]
17 Mao S, Yu X, Yang Y, Shan Y, Mugaanyi J, Wu S, Lu C. Preoperative nomogram for microvascular invasion prediction based on clinical database in hepatocellular carcinoma. Sci Rep 2021;11:13999. [PMID: 34234239 DOI: 10.1038/s41598-021-93528-7] [Reference Citation Analysis]